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The overall sample size limited the number of variables that could be analyzed as potential confounders, and this also lead us to dichotomize many variables for use in the analyses.
Finally we converted the equivalised household income into natural logarithms for use in the analyses.
Both 2D and 3D were performed to establish the representative shear strength parameters to use in the analyses and to examine the differences in the results.
For simplicity, we use in the analyses only two different types of service (voice and data) simultaneously offered to users allocated inside SA of the analyzed UMTS instances.
To calculate high prevalence performance, the predictor variable we use in the analyses, we subtracted false alarms from hits for each participant.
Both 2D and 3D slope stability analyses were performed to establish the representative shear strength parameters to use in the analyses and to examine the differences in the results.
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Individual and household level covariates are used in the analyses.
Attributes of each dataset used in the analyses.
Survey design effects were used in the analyses.
The population used in the analyses is not the same in all cases.
The sampling weights are used in the analyses for representativeness of the sample.
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